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What is Qwen Chat?

Qwen Chat is an innovative and versatile AI platform developed by Alibaba, offering a multitude of features via a user-friendly web interface. This platform utilizes advanced Qwen AI models, allowing users to engage in text conversations, create images and videos, perform web searches, and utilize a variety of tools to enhance productivity. Its functions include processing documents and images, providing HTML previews for coding projects, and the ability to generate and test artifacts directly within the chat, making it an excellent resource for developers, researchers, and AI enthusiasts. Moreover, users can seamlessly switch between models to meet diverse needs, whether for casual chats or specialized coding and visual tasks. The platform looks towards the future, promising new enhancements like voice interaction, which will further solidify its role as a flexible tool for numerous AI applications. With its extensive range of capabilities and planned upgrades, Qwen Chat is well-equipped to keep pace with the rapidly changing world of artificial intelligence. This adaptability ensures that users can continually benefit from its offerings as they evolve alongside AI trends.

What is CodeQwen?

CodeQwen acts as the programming equivalent of Qwen, a collection of large language models developed by the Qwen team at Alibaba Cloud. This model, which is based on a transformer architecture that operates purely as a decoder, has been rigorously pre-trained on an extensive dataset of code. It is known for its strong capabilities in code generation and has achieved remarkable results on various benchmarking assessments. CodeQwen can understand and generate long contexts of up to 64,000 tokens and supports 92 programming languages, excelling in tasks such as text-to-SQL queries and debugging operations. Interacting with CodeQwen is uncomplicated; users can start a dialogue with just a few lines of code leveraging transformers. The interaction is rooted in creating the tokenizer and model using pre-existing methods, utilizing the generate function to foster communication through the chat template specified by the tokenizer. Adhering to our established guidelines, we adopt the ChatML template specifically designed for chat models. This model efficiently completes code snippets according to the prompts it receives, providing responses that require no additional formatting changes, thereby significantly enhancing the user experience. The smooth integration of these components highlights the adaptability and effectiveness of CodeQwen in addressing a wide range of programming challenges, making it an invaluable tool for developers.

Media

Media

Integrations Supported

Alibaba Cloud
AtCoder
Code Llama
Codeforces
Conda
DeepSeek Coder
GPT-3.5
Hugging Face
LangChain
ModelScope
Python
QwQ-Max-Preview
Qwen
Qwen Chat
Qwen2
Qwen2-VL
Qwen2.5
Qwen2.5-Coder
Qwen2.5-Max
Sesterce

Integrations Supported

Alibaba Cloud
AtCoder
Code Llama
Codeforces
Conda
DeepSeek Coder
GPT-3.5
Hugging Face
LangChain
ModelScope
Python
QwQ-Max-Preview
Qwen
Qwen Chat
Qwen2
Qwen2-VL
Qwen2.5
Qwen2.5-Coder
Qwen2.5-Max
Sesterce

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Alibaba

Date Founded

1999

Company Location

China

Company Website

chat.qwenlm.ai/

Company Facts

Organization Name

Alibaba

Date Founded

1999

Company Location

China

Company Website

github.com/QwenLM/CodeQwen1.5

Categories and Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

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